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The Pearson Guide to the B. Sc. (Nursing) Entrance Examination is a comprehensive book for aspiring Nursing students, who are preparing for various nursing entrance examinations for several nursing institutes in India. This book comprises of concepts in Physics, Chemistry and Biology, and General Knowledge and English Section. It also includes 5500 plus multiple choice questions (MCQs) with a complete section on General Ability,for better practice and preparation. Students can also get a elementary idea on nursing education in India, introduction to the written examination and Life Sciences from this edition. It conforms to the latest syllabus and exam pattern and is written in simple and lucid language for better comprehension.
Discusses career opportunities in nursing, offers test-taking strategies, and includes three full-length practice exams.
This book provides a comprehensive and wide-ranging introduction to the fundamental principles of mechanical engineering in a distinct and clear manner. The book is intended for a core introductory course in the area of foundations and applications of mechanical engineering, prescribed for the first-year students of all disciplines of engineering. The book develops an intuitive understanding of the basic principles of machines and mechanisms in the areas of manufacturing processes, prime movers and thermal engineering. Numerous illustrative examples are provided to fortify these concepts throughout. The book provides the students a feel for applications of fundamental principles of mechanical engineering in the areas of steam boilers, internal combustion engines, refrigeration and air conditioning, and to devices such as turbines, pumps and robotics. No book on basic mechanical engineering is complete without an introduction to materials science. The text covers the treatment of the common engineering materials, highlighting their properties and applications. The text features several fully worked-out examples and numerical problems with answers for the relevant topics, large number of end-of-chapter review questions and multiple choice questions, which all enhance the value of the text to the students. This book is prescribed in Visvesvaraya Technological University.
. Renewal of Life by Transmission. The most notable distinction between living and inanimate things is that the former maintain themselves by renewal. A stone when struck resists. If its resistance is greater than the force of the blow struck, it remains outwardly unchanged. Otherwise, it is shattered into smaller bits. Never does the stone attempt to react in such a way that it may maintain itself against the blow, much less so as to render the blow a contributing factor to its own continued action. While the living thing may easily be crushed by superior force, it none the less tries to turn the energies which act upon it into means of its own further existence. If it cannot do so, it does not just split into smaller pieces (at least in the higher forms of life), but loses its identity as a living thing. As long as it endures, it struggles to use surrounding energies in its own behalf. It uses light, air, moisture, and the material of soil. To say that it uses them is to say that it turns them into means of its own conservation. As long as it is growing, the energy it expends in thus turning the environment to account is more than compensated for by the return it gets: it grows. Understanding the word "control" in this sense, it may be said that a living being is one that subjugates and controls for its own continued activity the energies that would otherwise use it up. Life is a self-renewing process through action upon the environment.
Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.